Feature learning

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Feature learning

In machine learning, feature learning or representation learning[174] is a set of techniques that allows a system to automatically discover the representations needed for feature detection or classification from raw data. This replaces manual feature engineering and allows a machine to both learn the features and use them to perform a specific task

Source : Wikipedia